Publication Information (EuropePMC) | |
Title | Prediction of clinically significant prostate cancer using polygenic risk models in Asians. |
PubMed ID | 34983122(Europe PMC) |
doi | 10.4111/icu.20210305 |
Publication Date | Jan. 1, 2022 |
Journal | Investig Clin Urol |
Author(s) | Song SH, Kim E, Woo E, Kwon E, Yoon S, Kim JK, Lee H, Oh JJ, Lee S, Hong SK, Byun SS. |
Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS002268 (PRS_csPCa) |
PGP000298 | Song SH et al. Investig Clin Urol (2022) |
Prostate cancer | prostate carcinoma | 29 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002268/ScoringFiles/PGS002268.txt.gz |
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|---|
PPM012919 | PGS002268 (PRS_csPCa) |
PSS009617| East Asian Ancestry| 1,133 individuals |
PGP000298 | Song SH et al. Investig Clin Urol (2022) |
Reported Trait: Clinically significant prostate cancer | — | AUROC: 0.7 [0.667, 0.734] | OR (very high vs moderate group): 4.92 | — | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
PSS009617 | — | — | [ ,
100.0 % Male samples |
— | East Asian (Korean) |
— | NR | — |